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Operation of distribution network with optimal placement and sizing of dispatchable DGs and shunt capacitors

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  • Das, Sangeeta
  • Das, Debapriya
  • Patra, Amit

Abstract

This paper presents a methodology for sustainable operation of the distribution network with optimal placement and sizing of dispatchable DGs and shunt capacitors. The objective of this work is aimed at reducing the feeder current drawn from the grid and minimizing the annual energy losses along with real power loss reduction and improvement of voltage profile. An average hourly variation of load demand profile is considered. Sensitivity analysis based on voltage stability index is used to obtain the location of dispatchable DGs and shunt capacitors. The size of the dispatchable DGs is optimized using GA optimization tool. Annual cost savings is computed to show the economic benefits of the operation. Effectiveness of the proposed methodology is demonstrated on a 33 node distribution network. The results demonstrate the effectiveness of the proposed methodology over other existing methods available in the literature.

Suggested Citation

  • Das, Sangeeta & Das, Debapriya & Patra, Amit, 2019. "Operation of distribution network with optimal placement and sizing of dispatchable DGs and shunt capacitors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    • Handle: RePEc:eee:rensus:v:113:y:2019:i:c:49
    DOI: 10.1016/j.rser.2019.06.026
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    References listed on IDEAS

    as
    1. Aman, M.M. & Jasmon, G.B. & Bakar, A.H.A. & Mokhlis, H. & Karimi, M., 2014. "Optimum shunt capacitor placement in distribution system—A review and comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 429-439.
    2. Rezaee Jordehi, Ahmad, 2016. "Allocation of distributed generation units in electric power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 893-905.
    3. Aman, M.M. & Jasmon, G.B. & Bakar, A.H.A. & Mokhlis, H., 2014. "A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm," Energy, Elsevier, vol. 66(C), pages 202-215.
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    Cited by:

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    2. J. Rajalakshmi & S. Durairaj, 2021. "Application of multi-objective optimization algorithm for siting and sizing of distributed generations in distribution networks," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 267-289, February.
    3. Dhivya Swaminathan & Arul Rajagopalan, 2022. "Optimized Network Reconfiguration with Integrated Generation Using Tangent Golden Flower Algorithm," Energies, MDPI, vol. 15(21), pages 1-19, November.
    4. Chandrasekaran Venkatesan & Raju Kannadasan & Dhanasekar Ravikumar & Vijayaraja Loganathan & Mohammed H. Alsharif & Daeyong Choi & Junhee Hong & Zong Woo Geem, 2021. "Re-Allocation of Distributed Generations Using Available Renewable Potential Based Multi-Criterion-Multi-Objective Hybrid Technique," Sustainability, MDPI, vol. 13(24), pages 1-28, December.
    5. Papadimitrakis, M. & Giamarelos, N. & Stogiannos, M. & Zois, E.N. & Livanos, N.A.-I. & Alexandridis, A., 2021. "Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).

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